/*
	SuperCollider real time audio synthesis system
 Copyright (c) 2002 James McCartney. All rights reserved.
	http://www.audiosynth.com

 This program is free software; you can redistribute it and/or modify
 it under the terms of the GNU General Public License as published by
 the Free Software Foundation; either version 2 of the License, or
 (at your option) any later version.

 This program is distributed in the hope that it will be useful,
 but WITHOUT ANY WARRANTY; without even the implied warranty of
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 GNU General Public License for more details.

 You should have received a copy of the GNU General Public License
 along with this program; if not, write to the Free Software
 Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301  USA
 */

//This MFCC UGen combines work by Dan Stowell (influenced also by Jamie Bullock's work on libxtract) and independent work by Nick Collins

//Mel scale based frequency warping of spectrum, powers combined discrete cosine transform (DCT-II) via brute force calculation
//see academic refs, wikipedia and http://www.fftw.org/fftw3_doc/Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029.html#Real-even_002fodd-DFTs-_0028cosine_002fsine-transforms_0029

#include "ML.h"
#include "FFT_UGens.h"

//The plugin could be generalised to pass alternative scale data (corresponding to Barks, ERBs and different FFT sizes etc) via a buffer
//For the moment, the data below is used and only 1024 FFT supported. For the associated Mel scale spacing generation code see the bottom of the MFCC help file

int g_startbin44100[42]= { 0, 2, 4, 5, 7, 9, 11, 13, 15, 17, 20, 23, 26, 29, 33, 36, 41, 45, 50, 55, 60, 66, 73, 80, 87, 96, 104, 114, 124, 135, 147, 159, 173, 188, 204, 221, 240, 260, 282, 305, 330, 357 };
//int g_endbin44100[42]= { 2, 3, 5, 7, 9, 11, 13, 15, 18, 21, 24, 27, 31, 34, 39, 43, 48, 53, 58, 64, 71, 78, 85, 94, 102, 112, 122, 133, 145, 157, 171, 186, 202, 219, 238, 258, 280, 303, 328, 355, 385, 416 };
//efficiency trick; one above actual endbin, allows for loop to test only < and not <=
int g_endbin44100[42]= {3, 4, 6, 8, 10, 12, 14, 16, 19, 22, 25, 28, 32, 35, 40, 44, 49, 54, 59, 65, 72, 79, 86, 95, 103, 113, 123, 134, 146, 158, 172, 187, 203, 220, 239, 259, 281, 304, 329, 356, 386, 417 };

int g_cumulindex44100[43]= { 0, 3, 5, 7, 10, 13, 16, 19, 22, 26, 31, 36, 41, 47, 53, 60, 68, 76, 85, 94, 104, 116, 129, 142, 157, 173, 190, 209, 229, 251, 274, 299, 327, 357, 389, 424, 462, 503, 547, 594, 645, 701, 760 };
float g_melbandweights44100[761]= { 0.5, 1, 0.5, 0.5, 1, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.75, 0.5, 0.25, 0.25, 0.5, 0.75, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.75, 0.5, 0.25, 0.25, 0.5, 0.75, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.83333333333333, 0.66666666666667, 0.5, 0.33333333333333, 0.16666666666667, 0.16666666666667, 0.33333333333333, 0.5, 0.66666666666667, 0.83333333333333, 1, 0.85714285714286, 0.71428571428571, 0.57142857142857, 0.42857142857143, 0.28571428571429, 0.14285714285714, 0.14285714285714, 0.28571428571429, 0.42857142857143, 0.57142857142857, 0.71428571428571, 0.85714285714286, 1, 0.85714285714286, 0.71428571428571, 0.57142857142857, 0.42857142857143, 0.28571428571429, 0.14285714285714, 0.14285714285714, 0.28571428571429, 0.42857142857143, 0.57142857142857, 0.71428571428571, 0.85714285714286, 1, 0.85714285714286, 0.71428571428571, 0.57142857142857, 0.42857142857143, 0.28571428571429, 0.14285714285714, 0.14285714285714, 0.28571428571429, 0.42857142857143, 0.57142857142857, 0.71428571428571, 0.85714285714286, 1, 0.88888888888889, 0.77777777777778, 0.66666666666667, 0.55555555555556, 0.44444444444444, 0.33333333333333, 0.22222222222222, 0.11111111111111, 0.11111111111111, 0.22222222222222, 0.33333333333333, 0.44444444444444, 0.55555555555556, 0.66666666666667, 0.77777777777778, 0.88888888888889, 1, 0.875, 0.75, 0.625, 0.5, 0.375, 0.25, 0.125, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0.90909090909091, 0.81818181818182, 0.72727272727273, 0.63636363636364, 0.54545454545455, 0.45454545454545, 0.36363636363636, 0.27272727272727, 0.18181818181818, 0.090909090909091, 0.090909090909091, 0.18181818181818, 0.27272727272727, 0.36363636363636, 0.45454545454545, 0.54545454545455, 0.63636363636364, 0.72727272727273, 0.81818181818182, 0.90909090909091, 1, 0.91666666666667, 0.83333333333333, 0.75, 0.66666666666667, 0.58333333333333, 0.5, 0.41666666666667, 0.33333333333333, 0.25, 0.16666666666667, 0.083333333333333, 0.083333333333333, 0.16666666666667, 0.25, 0.33333333333333, 0.41666666666667, 0.5, 0.58333333333333, 0.66666666666667, 0.75, 0.83333333333333, 0.91666666666667, 1, 0.91666666666667, 0.83333333333333, 0.75, 0.66666666666667, 0.58333333333333, 0.5, 0.41666666666667, 0.33333333333333, 0.25, 0.16666666666667, 0.083333333333333, 0.083333333333333, 0.16666666666667, 0.25, 0.33333333333333, 0.41666666666667, 0.5, 0.58333333333333, 0.66666666666667, 0.75, 0.83333333333333, 0.91666666666667, 1, 0.92857142857143, 0.85714285714286, 0.78571428571429, 0.71428571428571, 0.64285714285714, 0.57142857142857, 0.5, 0.42857142857143, 0.35714285714286, 0.28571428571429, 0.21428571428571, 0.14285714285714, 0.071428571428572, 0.071428571428571, 0.14285714285714, 0.21428571428571, 0.28571428571429, 0.35714285714286, 0.42857142857143, 0.5, 0.57142857142857, 0.64285714285714, 0.71428571428571, 0.78571428571429, 0.85714285714286, 0.92857142857143, 1, 0.93333333333333, 0.86666666666667, 0.8, 0.73333333333333, 0.66666666666667, 0.6, 0.53333333333333, 0.46666666666667, 0.4, 0.33333333333333, 0.26666666666667, 0.2, 0.13333333333333, 0.066666666666667, 0.066666666666667, 0.13333333333333, 0.2, 0.26666666666667, 0.33333333333333, 0.4, 0.46666666666667, 0.53333333333333, 0.6, 0.66666666666667, 0.73333333333333, 0.8, 0.86666666666667, 0.93333333333333, 1, 0.9375, 0.875, 0.8125, 0.75, 0.6875, 0.625, 0.5625, 0.5, 0.4375, 0.375, 0.3125, 0.25, 0.1875, 0.125, 0.0625, 0.0625, 0.125, 0.1875, 0.25, 0.3125, 0.375, 0.4375, 0.5, 0.5625, 0.625, 0.6875, 0.75, 0.8125, 0.875, 0.9375, 1, 0.94117647058824, 0.88235294117647, 0.82352941176471, 0.76470588235294, 0.70588235294118, 0.64705882352941, 0.58823529411765, 0.52941176470588, 0.47058823529412, 0.41176470588235, 0.35294117647059, 0.29411764705882, 0.23529411764706, 0.17647058823529, 0.11764705882353, 0.058823529411765, 0.058823529411765, 0.11764705882353, 0.17647058823529, 0.23529411764706, 0.29411764705882, 0.35294117647059, 0.41176470588235, 0.47058823529412, 0.52941176470588, 0.58823529411765, 0.64705882352941, 0.70588235294118, 0.76470588235294, 0.82352941176471, 0.88235294117647, 0.94117647058824, 1, 0.94736842105263, 0.89473684210526, 0.84210526315789, 0.78947368421053, 0.73684210526316, 0.68421052631579, 0.63157894736842, 0.57894736842105, 0.52631578947368, 0.47368421052632, 0.42105263157895, 0.36842105263158, 0.31578947368421, 0.26315789473684, 0.21052631578947, 0.15789473684211, 0.10526315789474, 0.052631578947369, 0.052631578947368, 0.10526315789474, 0.15789473684211, 0.21052631578947, 0.26315789473684, 0.31578947368421, 0.36842105263158, 0.42105263157895, 0.47368421052632, 0.52631578947368, 0.57894736842105, 0.63157894736842, 0.68421052631579, 0.73684210526316, 0.78947368421053, 0.84210526315789, 0.89473684210526, 0.94736842105263, 1, 0.95, 0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6, 0.55, 0.5, 0.45, 0.4, 0.35, 0.3, 0.25, 0.2, 0.15, 0.1, 0.05, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1, 0.95454545454545, 0.90909090909091, 0.86363636363636, 0.81818181818182, 0.77272727272727, 0.72727272727273, 0.68181818181818, 0.63636363636364, 0.59090909090909, 0.54545454545455, 0.5, 0.45454545454545, 0.40909090909091, 0.36363636363636, 0.31818181818182, 0.27272727272727, 0.22727272727273, 0.18181818181818, 0.13636363636364, 0.090909090909091, 0.045454545454545, 0.045454545454545, 0.090909090909091, 0.13636363636364, 0.18181818181818, 0.22727272727273, 0.27272727272727, 0.31818181818182, 0.36363636363636, 0.40909090909091, 0.45454545454545, 0.5, 0.54545454545455, 0.59090909090909, 0.63636363636364, 0.68181818181818, 0.72727272727273, 0.77272727272727, 0.81818181818182, 0.86363636363636, 0.90909090909091, 0.95454545454545, 1, 0.95652173913043, 0.91304347826087, 0.8695652173913, 0.82608695652174, 0.78260869565217, 0.73913043478261, 0.69565217391304, 0.65217391304348, 0.60869565217391, 0.56521739130435, 0.52173913043478, 0.47826086956522, 0.43478260869565, 0.39130434782609, 0.34782608695652, 0.30434782608696, 0.26086956521739, 0.21739130434783, 0.17391304347826, 0.1304347826087, 0.08695652173913, 0.043478260869565, 0.043478260869565, 0.08695652173913, 0.1304347826087, 0.17391304347826, 0.21739130434783, 0.26086956521739, 0.30434782608696, 0.34782608695652, 0.39130434782609, 0.43478260869565, 0.47826086956522, 0.52173913043478, 0.56521739130435, 0.60869565217391, 0.65217391304348, 0.69565217391304, 0.73913043478261, 0.78260869565217, 0.82608695652174, 0.8695652173913, 0.91304347826087, 0.95652173913043, 1, 0.96, 0.92, 0.88, 0.84, 0.8, 0.76, 0.72, 0.68, 0.64, 0.6, 0.56, 0.52, 0.48, 0.44, 0.4, 0.36, 0.32, 0.28, 0.24, 0.2, 0.16, 0.12, 0.08, 0.04, 0.04, 0.08, 0.12, 0.16, 0.2, 0.24, 0.28, 0.32, 0.36, 0.4, 0.44, 0.48, 0.52, 0.56, 0.6, 0.64, 0.68, 0.72, 0.76, 0.8, 0.84, 0.88, 0.92, 0.96, 1, 0.96296296296296, 0.92592592592593, 0.88888888888889, 0.85185185185185, 0.81481481481481, 0.77777777777778, 0.74074074074074, 0.7037037037037, 0.66666666666667, 0.62962962962963, 0.59259259259259, 0.55555555555556, 0.51851851851852, 0.48148148148148, 0.44444444444444, 0.40740740740741, 0.37037037037037, 0.33333333333333, 0.2962962962963, 0.25925925925926, 0.22222222222222, 0.18518518518519, 0.14814814814815, 0.11111111111111, 0.074074074074074, 0.037037037037037, 0.037037037037037, 0.074074074074074, 0.11111111111111, 0.14814814814815, 0.18518518518519, 0.22222222222222, 0.25925925925926, 0.2962962962963, 0.33333333333333, 0.37037037037037, 0.40740740740741, 0.44444444444444, 0.48148148148148, 0.51851851851852, 0.55555555555556, 0.59259259259259, 0.62962962962963, 0.66666666666667, 0.7037037037037, 0.74074074074074, 0.77777777777778, 0.81481481481481, 0.85185185185185, 0.88888888888889, 0.92592592592593, 0.96296296296296, 1, 0.96666666666667, 0.93333333333333, 0.9, 0.86666666666667, 0.83333333333333, 0.8, 0.76666666666667, 0.73333333333333, 0.7, 0.66666666666667, 0.63333333333333, 0.6, 0.56666666666667, 0.53333333333333, 0.5, 0.46666666666667, 0.43333333333333, 0.4, 0.36666666666667, 0.33333333333333, 0.3, 0.26666666666667, 0.23333333333333, 0.2, 0.16666666666667, 0.13333333333333, 0.1, 0.066666666666667, 0.033333333333333, 0.033333333333333, 0.066666666666667, 0.1, 0.13333333333333, 0.16666666666667, 0.2, 0.23333333333333, 0.26666666666667, 0.3, 0.33333333333333, 0.36666666666667, 0.4, 0.43333333333333, 0.46666666666667, 0.5, 0.53333333333333, 0.56666666666667, 0.6, 0.63333333333333, 0.66666666666667, 0.7, 0.73333333333333, 0.76666666666667, 0.8, 0.83333333333333, 0.86666666666667, 0.9, 0.93333333333333, 0.96666666666667, 1, 0.96774193548387, 0.93548387096774, 0.90322580645161, 0.87096774193548, 0.83870967741935, 0.80645161290323, 0.7741935483871, 0.74193548387097, 0.70967741935484, 0.67741935483871, 0.64516129032258, 0.61290322580645, 0.58064516129032, 0.54838709677419, 0.51612903225806, 0.48387096774194, 0.45161290322581, 0.41935483870968, 0.38709677419355, 0.35483870967742, 0.32258064516129, 0.29032258064516, 0.25806451612903, 0.2258064516129, 0.19354838709677, 0.16129032258065, 0.12903225806452, 0.096774193548387, 0.064516129032258, 0.032258064516129 };

int g_startbin48000[42]= { 0, 2, 4, 5, 6, 8, 10, 12, 14, 16, 18, 21, 24, 27, 30, 34, 37, 41, 46, 51, 56, 61, 67, 73, 80, 88, 96, 104, 114, 124, 135, 147, 159, 173, 188, 203, 220, 239, 259, 280, 304, 328 };
//int g_endbin48000[42]= { 2, 3, 4, 6, 8, 10, 12, 14, 16, 19, 22, 25, 28, 32, 35, 39, 44, 49, 54, 59, 65, 71, 78, 86, 94, 102, 112, 122, 133, 145, 157, 171, 186, 201, 218, 237, 257, 278, 302, 326, 353, 383 };
//with efficiency trick
int g_endbin48000[42]= { 3, 4, 5, 7, 9, 11, 13, 15, 17, 20, 23, 26, 29, 33, 36, 40, 45, 50, 55, 60, 66, 72, 79, 87, 95, 103, 113, 123, 134, 146, 158, 172, 187, 202, 219, 238, 258, 279, 303, 327, 354, 384 };

int g_cumulindex48000[43]= { 0, 3, 5, 6, 8, 11, 14, 17, 20, 23, 27, 32, 37, 42, 48, 54, 60, 68, 77, 86, 95, 105, 116, 128, 142, 157, 172, 189, 208, 228, 250, 273, 298, 326, 355, 386, 421, 459, 499, 543, 590, 640, 695 };
float g_melbandweights48000[761]= { 0.5, 1, 0.5, 0.5, 1, 1, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.5, 0.5, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.75, 0.5, 0.25, 0.25, 0.5, 0.75, 1, 0.66666666666667, 0.33333333333333, 0.33333333333333, 0.66666666666667, 1, 0.75, 0.5, 0.25, 0.25, 0.5, 0.75, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.8, 0.6, 0.4, 0.2, 0.2, 0.4, 0.6, 0.8, 1, 0.83333333333333, 0.66666666666667, 0.5, 0.33333333333333, 0.16666666666667, 0.16666666666667, 0.33333333333333, 0.5, 0.66666666666667, 0.83333333333333, 1, 0.83333333333333, 0.66666666666667, 0.5, 0.33333333333333, 0.16666666666667, 0.16666666666667, 0.33333333333333, 0.5, 0.66666666666667, 0.83333333333333, 1, 0.85714285714286, 0.71428571428571, 0.57142857142857, 0.42857142857143, 0.28571428571429, 0.14285714285714, 0.14285714285714, 0.28571428571429, 0.42857142857143, 0.57142857142857, 0.71428571428571, 0.85714285714286, 1, 0.875, 0.75, 0.625, 0.5, 0.375, 0.25, 0.125, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1, 0.875, 0.75, 0.625, 0.5, 0.375, 0.25, 0.125, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1, 0.875, 0.75, 0.625, 0.5, 0.375, 0.25, 0.125, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 0.90909090909091, 0.81818181818182, 0.72727272727273, 0.63636363636364, 0.54545454545455, 0.45454545454545, 0.36363636363636, 0.27272727272727, 0.18181818181818, 0.090909090909091, 0.090909090909091, 0.18181818181818, 0.27272727272727, 0.36363636363636, 0.45454545454545, 0.54545454545455, 0.63636363636364, 0.72727272727273, 0.81818181818182, 0.90909090909091, 1, 0.91666666666667, 0.83333333333333, 0.75, 0.66666666666667, 0.58333333333333, 0.5, 0.41666666666667, 0.33333333333333, 0.25, 0.16666666666667, 0.083333333333333, 0.083333333333333, 0.16666666666667, 0.25, 0.33333333333333, 0.41666666666667, 0.5, 0.58333333333333, 0.66666666666667, 0.75, 0.83333333333333, 0.91666666666667, 1, 0.91666666666667, 0.83333333333333, 0.75, 0.66666666666667, 0.58333333333333, 0.5, 0.41666666666667, 0.33333333333333, 0.25, 0.16666666666667, 0.083333333333333, 0.083333333333333, 0.16666666666667, 0.25, 0.33333333333333, 0.41666666666667, 0.5, 0.58333333333333, 0.66666666666667, 0.75, 0.83333333333333, 0.91666666666667, 1, 0.92857142857143, 0.85714285714286, 0.78571428571429, 0.71428571428571, 0.64285714285714, 0.57142857142857, 0.5, 0.42857142857143, 0.35714285714286, 0.28571428571429, 0.21428571428571, 0.14285714285714, 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//generated in SC using:
//a= Array.fill(42, {|i| cos(pi/42.0*((0..41)+0.5)*(i+1))});
//Post << a.flatten << nl;

//up to 42 coefficients, each with 42 multipliers for each of 42 bands
float dct[1764]=  {0.9993007047884, 0.99371220989324, 0.98256647323329, 0.96592582628907, 0.94388333030837, 0.91656225586998, 0.88411539350461, 0.84672419922828, 0.80459777976667, 0.75797172314545, 0.70710678118655, 0.65228741127812, 0.5938201855735, 0.53203207651534, 0.46726862827306, 0.39989202431974, 0.33027906195517, 0.25881904510252, 0.18591160716291, 0.11196447610331, 0.037391194276326, -0.037391194276326, -0.11196447610331, -0.18591160716291, -0.25881904510252, -0.33027906195517, -0.39989202431974, -0.46726862827306, -0.53203207651534, -0.5938201855735, -0.65228741127812, -0.70710678118655, -0.75797172314545, -0.80459777976667, -0.84672419922828, -0.88411539350461, -0.91656225586998, -0.94388333030837, -0.96592582628907, -0.98256647323329, -0.99371220989324, -0.9993007047884, 0.99720379718118, 0.97492791218182, 0.9308737486442, 0.86602540378444, 0.78183148246803, 0.68017273777092, 0.56332005806362, 0.43388373911756, 0.2947551744109, 0.14904226617617, 6.1232339957368e-17, 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//other functions
static void MFCC_dofft(MFCC *, uint32);

static float MFCC_prepareMel(MFCC *, float *);
//float MFCC_prepareERB(MFCC *, float *);


void MFCC_Ctor(MFCC* unit)
{
	//may want to check sampling rate here!

	unit->m_srate = unit->mWorld->mFullRate.mSampleRate;

	//if sample rate is 88200 or 96000, assume taking double size FFT to start with
	if(unit->m_srate > (44100.0*1.5)) unit->m_srate = unit->m_srate*0.5;

	if(((int)(unit->m_srate+0.01))==44100)
	{
		unit->m_startbin= g_startbin44100;
		unit->m_endbin= g_endbin44100;
		unit->m_cumulindex= g_cumulindex44100;
		unit->m_bandweights= g_melbandweights44100;
	}
	else  //else 48000; potentially dangerous if it isn't! Fortunately, shouldn't write any data to unknown memory
	{
		unit->m_startbin= g_startbin48000;
		unit->m_endbin= g_endbin48000;
		unit->m_cumulindex= g_cumulindex48000;
		unit->m_bandweights= g_melbandweights48000;
	}

	//fixed for now
	unit->m_numbands= 42;

	unit->m_bands = (float*)RTAlloc(unit->mWorld, unit->m_numbands * sizeof(float));

	Clear(unit->m_numbands, unit->m_bands);

	unit->m_numcoefficients= (int)ZIN0(1);

	//range checks
	if(unit->m_numcoefficients<1){unit->m_numcoefficients=1;}
	if(unit->m_numcoefficients>42){unit->m_numcoefficients=42;}

	unit->m_mfcc = (float*)RTAlloc(unit->mWorld, unit->m_numcoefficients * sizeof(float));

	Clear(unit->m_numcoefficients, unit->m_mfcc);
	for (int j=0; j<unit->m_numcoefficients; ++j)
		ZOUT0(j) = 0.f;

	unit->mCalcFunc = (UnitCalcFunc)&MFCC_next;
}


void MFCC_Dtor(MFCC *unit)
{
	if(unit->m_mfcc)
		RTFree(unit->mWorld, unit->m_mfcc);
	if(unit->m_bands)
		RTFree(unit->mWorld, unit->m_bands);
}


void MFCC_next(MFCC *unit, int wrongNumSamples)
{
	float fbufnum = ZIN0(0);

	//next FFT bufffer ready, update
	//assuming at this point that buffer precalculated for any resampling
	if (fbufnum> -0.01f)
		MFCC_dofft(unit, (uint32)fbufnum);

	//always output sones
	//float outval= unit->m_sones;

	//printf("sones %f phontotal %f \n",outval, unit->m_phontotal);

	//number of outputs depends on numcoefficients
	//control rate output
	//ZOUT0(0)=unit->m_sones;

	for (int k=0; k<unit->m_numcoefficients; ++k)
		ZOUT0(k)= unit->m_mfcc[k];
}


//calculation function once FFT data ready
void MFCC_dofft(MFCC *unit, uint32 ibufnum)
{
	World *world = unit->mWorld;

	SndBuf *buf;
	if (ibufnum >= world->mNumSndBufs) {
		int localBufNum = ibufnum - world->mNumSndBufs;
		Graph *parent = unit->mParent;
		if(localBufNum <= parent->localBufNum) {
			buf = parent->mLocalSndBufs + localBufNum;
		} else {
			buf = world->mSndBufs;
		}
	} else {
		buf = world->mSndBufs + ibufnum;
	}
	LOCK_SNDBUF(buf);

	//int numbins = buf->samples - 2 >> 1;

	//assumed in this representation
	ToComplexApx(buf);

	float * data= buf->data;

	float mult= MFCC_prepareMel(unit, data);
	//MFCC_prepareERB

	float * pbands= unit->m_bands;

	//now use cosine basis for transform; approximates principal components, compresses information into a smaller number of bands
	//FFT is actually more expensive here, easiest just to calculate the basis decomposition straight off

	//hard coded 42 = max num bands because this is how the indexing in the dct source is set up
	for (int k=0; k<unit->m_numcoefficients; ++k){
		float sum=0.0;

		int base= k*42;

		for (int j=0; j<unit->m_numbands; ++j) {
			int index= base+j;
			//sum+= (0.5*dct[index]+0.5)*pbands[j];
			sum+= (dct[index])*pbands[j];
		}

		//could also divide by numcoefficients, but left off for compatibility between MFCCs extracted in different ways
		unit->m_mfcc[k]= 0.25f*((sum*mult)+1.0f); //0.5*(0.5*(sum*mult)+0.5);
	}
}


float MFCC_prepareMel(MFCC * unit, float * data)
{
	float * pbands= unit->m_bands;

	int * startbin= unit->m_startbin;
	int * endbin= unit->m_endbin;
	int * cumulindex= unit->m_cumulindex;
	float * weights= unit->m_bandweights;

	for (int k=0; k<unit->m_numbands; ++k){
		int bandstart = startbin[k];
		int bandend = endbin[k]; //p1 = endbin[k]+1;

		float bsum=0.f;
		float real, imag, power;
		int index, index2;
		//float lastpower=0.0;

		index2= cumulindex[k] - bandstart;

		for (int j=bandstart; j < bandend; ++j) {
			index = j+j;
			real= data[index];
			imag= data[index+1];

			if(j==0)
				power= real*real; //sc_abs(real); //dc
			else
				power = real*real + imag*imag; //sqrt((real*real) + (imag*imag));

			float multiplier = weights[index2 + j]; //[cumulindex[k] + (j-bandstart)]

			bsum += (power*multiplier);

		}

		//either keep as double to preserve the small value
		//pbands[k] = 10.f * (sc_log10((bsum< 1e-42? 1e-42: bsum)) + 5.f);
		//or make sure value works as a float: 
		//pbands[k] = 10.f * (sc_log10((bsum< 1e-20f? 1e-20f: bsum)) + 5.f);
		//want to avoid negative values, dynamic range roughly around 11 powers of ten (110dB)
		//pbands[k] = 10.f * (std::log10((bsum< 1e-5f? 1e-5f: bsum)) + 5.f);
		pbands[k] = 10.f * (std::log10(sc_max(1e-5f, bsum)) +5.f); 
	}

	//float mult= 0.01; //(1.0/((float)unit->m_numcoefficients)); //0.01*(1.0/((float)unit->m_numcoefficients));
	return 0.01f;
}



//Original draft for EFCC

//temporal masking over ERB bands: peaks take a while to decay
//spectral masking over which bins summed as contributors for ERB bands; spreading activation function actually implies that the overall power is greater from spread?
//masking not triangular but slanted towards masking higher frequency content (ie, lower freq bins mask upper)
//
//for true MP3 style compression would have to see if each FFT bin was noise like or sine like (transient measure on instantaneous frequency for example), and use the appropriate masking curve
//efficiency is preferred here
//
//thus can calculate squared powers as you go? cheapest if only have effect of spectral masking above, covering a fixed number of bins? but then, frequency biased loudness based on ERB band centre frequency!

//float MFCC_prepareERB(MFCC * unit, float * data) {
//
//int j,k;
//
//	float * pbands= unit->m_bands;
//
//	for (k=0; k<unit->m_numbands; ++k){
//
//		int bandstart=eqlbandbins[k];
//		//int bandend=eqlbandbins[k+1];
//		int bandsize= eqlbandsizes[k];
//		int bandend= bandstart+bandsize;
//
//		float bsum=0.0;
//		float real, imag, power;
//		int index;
//		//float lastpower=0.0;
//
//		for (j=bandstart; j<bandend;++j) {
//			index = 2*j;
//			real= data[index];
//			imag= data[index+1];
//
//			power = (real*real) + (imag*imag);
//
//			//power of three combination
//			bsum= bsum+(power*power*power);
//
//		}
//
//		float db= 10*((0.33334*log10(bsum)) + 4.8810017610244); //correct multipler until you get loudness output of 1!
//
//		//convert via contour
//		if(db<contours[k][0]) db=0;
//        else if (db>contours[k][10]) db=phons[10];
//        else {
//
//            float prop=0.0;
//
//            for (j=1; j<11; ++j) {
//                if(db<contours[k][j]) {
//                    prop= (db-contours[k][j-1])/(contours[k][j]-contours[k][j-1]);
//                    break;
//				}
//
//				if(j==10)
//					prop=1.0;
//            }
//
//            db= (1.0-prop)*phons[j-1]+ prop*phons[j];
//			//printf("prop %f db %f j %d\n",prop,db,j);
//
//		}
//
//		//spectralmasking, 6dB drop per frame?
//		//try also with just take db
//		pbands[k] = db; //sc_max(db, (unit->m_bands[k]) - tmask);
//
//	}
//
//
//	//now use cosine basis for transform; approximates principal components, compresses information into a smaller number of bands
//	//FFT is actually more expensive here, easiest just to calculate the basis decomposition straight off
//	float mult= 0.01*(1.0/((float)unit->m_numcoefficients));
//
//	return mult;
//}
//
